Foundations of Biomedical Knowledge Representation: Methods and Applications (Lecture Notes in Computer Science)
暫譯: 生物醫學知識表示的基礎:方法與應用(計算機科學講義)
- 出版商: Springer
- 出版日期: 2016-02-03
- 售價: $2,410
- 貴賓價: 9.5 折 $2,290
- 語言: 英文
- 頁數: 339
- 裝訂: Paperback
- ISBN: 3319280066
- ISBN-13: 9783319280066
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相關分類:
Computer-Science
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商品描述
Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the end of the 1970s, when knowledge representation and reasoning in the biomedical field became a separate area of research, huge progress has been made in the development of methods and tools that are finally able to impact on the way medicine is being practiced.
Even though there are huge differences in the techniques and methods used by biomedical researchers, there is now an increasing tendency to share research results in terms of formal knowledge representation methods, such as ontologies, statistical models, network models, and mathematical models. As there is an urgent need for health-care professionals to make better decisions, computer-based support using this knowledge is now becoming increasingly important. It may also be the only way to integrate research results from the different parts of the spectrum of biomedical and clinical research.
The aim of this book is to shed light on developments in knowledge representation at different levels of biomedical application, ranging from human biology to clinical guidelines, and using different techniques, from probability theory and differential equations to logic. The book starts with two introductory chapters followed by 18 contributions organized in the following topical sections: diagnosis of disease; monitoring of health and disease and conformance; assessment of health and personalization; prediction and prognosis of health and disease; treatment of disease; and recommendations.
商品描述(中文翻譯)
醫學和健康照護目前面臨著顯著的複雜性上升。這部分是由於過去三十年在分子、(亞)細胞和器官層面上對健康和疾病原因的基本生物學理解所取得的進展。自1970年代末期以來,當生物醫學領域的知識表徵和推理成為一個獨立的研究領域時,已經在開發方法和工具方面取得了巨大的進展,這些方法和工具最終能夠影響醫學的實踐方式。
儘管生物醫學研究者所使用的技術和方法存在巨大差異,但現在越來越傾向於以正式的知識表徵方法來分享研究結果,例如本體論、統計模型、網絡模型和數學模型。由於健康照護專業人員迫切需要做出更好的決策,因此基於計算機的支持使用這些知識變得越來越重要。這也可能是整合生物醫學和臨床研究不同部分的研究結果的唯一方法。
本書的目的是闡明在不同生物醫學應用層面上知識表徵的發展,範圍從人類生物學到臨床指導,並使用不同的技術,從概率論和微分方程到邏輯。該書以兩個介紹性章節開始,隨後是18篇貢獻,組織在以下主題部分:疾病診斷;健康和疾病的監測及符合性;健康評估和個性化;健康和疾病的預測與預後;疾病治療;以及建議。